/Engine/Plugins/Experimental/LearningAgents/Source/LearningAgentsTraining/Public/LearningAgentsImitationTrainer.h
The configurable settings for the training process.
[USTRUCT](Programming/UnrealArchitecture/Reference/Structs)([BlueprintType](Programming/UnrealArchitecture/Reference/Structs/Specifiers/BlueprintType), Category="LearningAgents") struct FLearningAgentsImitationTrainerTrainingSettings
uint32
BatchSize
Batch size to use for training.
bool
bUseTensorboard
If true, TensorBoard logs will be emitted to the intermediate directory.
ELearningAgents...
Device
The device to train on.
float
LearningRate
Learning rate of the policy network. Typical values are between 0.001 and 0.0001.
float
LearningRateDecay
Ratio by which to decay the learning rate every 1000 iterations.
int32
NumberOfIterations
The number of iterations to run before ending training.
int32
RandomSeed
The seed used for any random sampling the trainer will perform, e.g. for weight initialization.
float
WeightDecay
Amount of weight decay to apply to the network.